iPhone 15 Pro (CPU) iPhone 15 Pro
Geekbench AI Score
4010
Single Precision Score
6893
Half Precision Score
6019
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yonis |
| Upload Date | August 15 2024 09:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.1 IPS |
|
|
Image Classification (Q)
|
99% |
2928
546.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2393
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8252
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
16784
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14375
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3374
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13618
105.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13600
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21399
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32575
41.9 IPS |
|
|
Style Transfer (Q)
|
100% |
32757
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4359
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5704
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6117
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
